This repository is a collection of guides, notebooks, and recipes for implementing advanced prompting techniques and workflow patterns with large language models. It serves as a prompt engineering guide, an evaluation suite for scoring prompt quality, and a framework for orchestrating agents and integrating external tools. The project provides implementation patterns for building applications with Claude, specifically focusing on coordinating multiple models to split complex tasks between high-reasoning and high-efficiency agents. It includes technical demonstrations for multimodal data proce
RAGChecker: A Fine-grained Framework For Diagnosing RAG
A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.
Build - Rapid Experiment - Evaluate - Observability
Represent, send, store and search multimodal data
The main features of docarray/docarray are: Retrieval Augmented Generation, Data Containers.
Open-source alternatives to docarray/docarray include: anthropics/anthropic-cookbook — This repository is a collection of guides, notebooks, and recipes for implementing advanced prompting techniques and… amazon-science/ragchecker — RAGChecker: A Fine-grained Framework For Diagnosing RAG. answerdotai/rerankers — A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models. aiplanethub/beyondllm — Build - Rapid Experiment - Evaluate - Observability. asg017/sqlite-vec — sqlite-vec is a C-based vector library and SQLite extension that adds virtual tables for storing and querying… 1panel-dev/maxkb — MaxKB is a self-hosted retrieval-augmented generation platform designed to connect internal document repositories with…